Impacts of supply chain planning and integration on mass customization

2018 ◽  
Vol 29 (3) ◽  
pp. 608-628 ◽  
Author(s):  
Gensheng (Jason) Liu ◽  
Weiyong Zhang ◽  
Chundong Guo

PurposeEffective mass customization (MC) depends on accurately identifying customer needs and procuring appropriate components from supply base to manufacture the required product configurations in a timely manner. In essence, effective MC for a focal firm is contingent on effective supply chain management. However, extant literature is not very clear on how supply chain (SC) planning and integration activities affect MC. The purpose of this paper is to fill the gap by examining the impacts of SC-planning and SC-integration on MC.Design/methodology/approachOrganizational information processing theory is used to link SC-integration with MC ability, and a link is hypothesized between SC-planning and SC-integration. The structural equation model is then analyzed using data from 262 manufacturing plants.FindingsIt is found that SC-integration fully mediates the relationship between SC-planning and MC-ability.Research limitations/implicationsThe SC-integration measure is from a focal manufacturer’s standpoint, rather than the standpoint of the entire SC.Practical implicationsThe results indicate that using a SC perspective in planning activities helps a focal firm integrate with key stakeholders along the SC, which subsequently helps the firm mass customize. Practitioners should recognize the added importance of SC-planning and SC-integration if they want to mass customize.Originality/valueThis study provides a theoretical foundation for the relationship between SC-integration and MC. It also provides a more comprehensive conceptualization of SC-integration, which includes supplier integration, customer integration, as well as internal functional integration which was neglected in many previous studies.

2019 ◽  
Vol 39 (5) ◽  
pp. 787-814 ◽  
Author(s):  
Wantao Yu ◽  
Roberto Chavez ◽  
Mark Jacobs ◽  
Chee Yew Wong ◽  
Chunlin Yuan

Purpose It remains unclear how environmental scanning (ES) can generate firm performance through supply chain management (SCM) practices. The purpose of this paper is to investigate the effects of ES on operational performance through supply chain integration (SCI) and supply chain responsiveness (SCR). Design/methodology/approach The scanning–interpretation–action–performance (SIAP) model and organization information processing theory (OIPT) are used to explain the ES–SCI–SCR–performance (S–I–A–P) relationships, which were tested by structural equation modeling of survey data of 329 manufacturing firms in China. Findings The results indicate that ES has a significant positive effect on SCI and SCR. SCI is significantly and positively related to SCR. SCR partially mediates the relationship between ES and operational performance, and fully mediates the relationship between SCI and operational performance. Practical implications Supply chain managers should collaborate with senior executives to obtain signals from ES activities, as input for building SCI and SCR and use SCI as a joint interpretation mechanism of ES signals for developing SCR to reap operational advantages in the rapidly changing business environment. Originality/value Strategic management academics and practitioners have explicitly emphasized the importance of ES in developing strategic plans but are unsure about the role of SCM in creating operational advantages through ES. Using the SIAP model, this study theorizes and demonstrates how SCI and SCR transform signals from ES into operational performance. In doing so, a more precise application of OIPT is explicated in the supply chain context.


2019 ◽  
Vol 119 (8) ◽  
pp. 1785-1801 ◽  
Author(s):  
Bo Yan ◽  
Yan-Ru Chen ◽  
Xiao-Tai Zhou ◽  
Jing Fang

Purpose The purpose of this paper is to analyze how social networking services (SNSs) affect consumers’ behaviors on the omni-channel supply chain by using a reverse research method. Design/methodology/approach Initially, a questionnaire was administered to obtain data on the relationship between the perception factors of channels and consumer behavior. Subsequently, a structural equation model was constructed, and consumer behavior were determined in the omni-channel supply chain. Finally, the importance of various factors that affected consumer behavior in the omni-channel supply chain under SNSs was determined. Findings Conclusions affirm that a positive effect on consumer channel behaviors occurs when buyers obtain information from social network platforms. However, regardless of online, offline, or mobile terminal, shortcomings are indicated in consumers’ lack of feedback on purchased goods and the bias of feedback. Originality/value The study explored ways to efficiently apply SNSs in building the omni-channel supply chain. Meanwhile, corresponding suggestions were provided such that companies will know about consumer needs.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yingjie Ju ◽  
Hanping Hou ◽  
Jianliang Yang

PurposeUsing the logistics service supply chain (LSSC) as a research object, this study focuses on the relationship between integration quality (IQ), value co-creation (VCC), and LSSC resilience. Moreover, it discusses the moderating role of digital technology (DT).Design/methodology/approachBased on data about China, this study used the structural equation model to test the research hypothesis. To verify the validity of each construct, this study used various established scales in the literature to conduct exploratory and confirmatory analysis.FindingsThe results show that IQ is an essential antecedent variable that promotes VCC and LSSC resilience. Moreover, this study confirms that DT has a positive moderating effect on the relationship between IQ, VCC, and resilience.Originality/valueThis study constructs a research framework to examine LSSC resilience and expands the theoretical research on the VCC theory in the supply chain literature. Moreover, this paper studies supply chain integration from a new perspective, that is, IQ, which is more in line with the reality of LSSC.


2018 ◽  
Vol 38 (12) ◽  
pp. 2266-2285 ◽  
Author(s):  
Haris Aslam ◽  
Constantin Blome ◽  
Samuel Roscoe ◽  
Tashfeen M. Azhar

Purpose This paper positions market sensing, supply chain agility and supply chain adaptability as a coherent cluster of dynamic supply chain capabilities. The purpose of this paper is to understand how dynamic supply chain capabilities interrelate and their effect on supply chain ambidexterity. Design/methodology/approach Based on a survey of Pakistani manufacturing firms, a theoretically-derived model was tested in a structural equation model. Findings The results of the study show that a market-sensing capability is an antecedent of supply chain agility and supply chain adaptability. Furthermore, supply chain agility, directly, and supply chain adaptability, indirectly, affect supply chain ambidexterity. Supply chain agility, therefore, mediates the relationship between supply chain adaptability and supply chain ambidexterity. Originality/value The contribution of this study lies in: first, identifying dynamic capability clusters relevant for achieving supply chain ambidexterity; second, evaluating performance implications of dynamic capabilities in the supply chain, specifically supply chain agility and adaptability; and third, proposing a unique measurement of supply chain ambidexterity in the light supply chain theory, and empirically evaluating the relationship between dynamic capabilities and supply chain ambidexterity.


2019 ◽  
Vol 19 (2) ◽  
pp. 58
Author(s):  
Tiara Fatimah ◽  
Dedie S. Martadistra

<p><strong><em>Abstra</em></strong><strong><em>k</em></strong><strong></strong></p><p><strong><em>Tujuan</em></strong><em>–</em> <em>Tujuan penelitian ini adalah untuk menganalisis pengaruh perencanaan rantai pasokan dan integrasi rantai pasokan terhadap kemampuan kustomisasi massal. Responden dalam penelitian ini ditentukan dengan menggunakan rumus Slovin dan 120 responden diperoleh dari UKM makanan dengan kategori ukuran kecil di Samarinda.</em></p><p><strong><em>Desain</em></strong><strong><em>/Met</em></strong><strong><em>odologi</em></strong><strong><em>/</em></strong><strong><em>Pendekatan - </em></strong><em>Metode yang digunakan adalah Purposive Sampling untuk mengambil sampel. Structural Equation Model (SEM) untuk menganalisis data dan statistik deskriptif menggunakan Factor Loading.</em></p><p><strong><em>Hasil </em></strong><em>–</em> <em>Dalam penelitian ini ditemukan bahwa perencanaan rantai pasokan berpengaruh terhadap integrasi rantai pasokan, integrasi rantai pasokan berpengaruh terhadap kemampuan kustomisasi massal, dan perencanaan rantai pasokan memiliki pengaruh langsung yang kurang signifikan terhadap kemampuan kustomisasi massa.</em></p><p><em>Dari hasil penelitian ini disarankan agar UKM untuk mencapai tingkat optimal kemampuan kustomisasi massal, mereka harus meningkatkan integrasi rantai pasokan mereka yang mengandung integrasi pemasok, integrasi pelanggan, integrasi fungsional.</em></p><pre><em> </em></pre><p><strong><em>Abstract</em></strong></p><p><strong><em>Purpose - </em></strong><em>This research purpose is to analyse the effect of supply chain planning and supply chain integration towards mass customization ability. Respondents in this research determined using Slovin’s formula and 120 respondents obtained from food SMEs with category of small size in Samarinda.<strong></strong></em></p><p><strong><em>Des</em></strong><strong><em>ign</em></strong><strong><em>/Met</em></strong><strong><em>hodology</em></strong><strong><em>/</em></strong><strong><em>Approach:</em></strong><em>The method used is Purposive Sampling for taking the sample. Structural Equation Model (SEM) for analysis the data and statistical descriptive using Factor Loading. </em><em></em></p><p><strong><em>Finding </em></strong><em>- In this research found that supply chain planning have effect toward supply chain integration, supply chain integration have effect toward mass customization ability, and supply chain planning have less significant direct effect toward mass customization ability.</em></p><p><em>From the results of this research suggested so that SMEs for achievethe optimum level of mass customization ability, they should improve their supply chain integration that contain supplier integration, costumer integration, functional integration.</em></p>


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anurodhsingh Khanuja ◽  
Rajesh Kumar Jain

PurposeSupply chain integration (SCI) and flexibility (SCF) are recognised as crucial business practices and capability in the global competitive market. However, limited research has paid attention to study the relationship between SCI, SCF and their impact on supply chain performance (SCP). Therefore, the purpose of this paper is to establish a relationship between integration, flexibility and performance.Design/methodology/approachThe structural equation modelling technique was used to analyse the 187 data collected from Indian organisations through the survey methodology.FindingsFindings indicate that external integration contributes significantly to realise SCF and SCP. Sourcing and logistics flexibility also help to improve the SCP. The mediation analysis showed that the association of customer and supplier integration with SCP is partially and fully mediated by logistics flexibility, respectively. This study suggests that integration influences the SCP when the firm has a strong association with downstream partners and enough capability for logistics flexibility.Research limitations/implicationsThe study has collected cross-sectional data to analyse the relationship between SCI, SCF and SCP. However, as integration requires an effort of the years, longitudinal data and industry-specific studies may provide comprehensive views to validate the results of this study.Originality/valueBuilding on relational view theory and dynamic capability theory, the study has proposed the SCP assessment framework based on the relationship between SCI and SCF.


2018 ◽  
Vol 23 (6) ◽  
pp. 500-517 ◽  
Author(s):  
Himanshu Shee ◽  
Shah Jahan Miah ◽  
Leon Fairfield ◽  
Nyoman Pujawan

PurposeTheorising from the intersection of supply chain and information systems (IS) literature, this study aims to investigate supply chain integration (SCI) as a multidimensional construct in the context of cloud-based technology and explores the effect of cloud-enabled SCI on supply chain performance, which will eventually improve firm sustainability from a resource-based view (RBV). In addition, the moderating effect of top management is explored.Design/methodology/approachUsing cross-sectional survey data collected from a sample of 105 Australian retail firms, this study used structural equation modelling to test the hypothesised relationship of cloud-enabled SCI with performance in a theoretical model.FindingsResults show that cloud-based technology has positive effect on SCI, and the cloud-enabled SCI is positively related to supply chain performance which eventually influenced firm sustainability. Further, top management intervention moderates the relationship between supplier and internal integration with supply chain performance. But it is found to have no moderating effect on the relationship between customer integration and supply chain performance.Practical implicationsRecognising the potential benefits of emerging cloud-based technologies reported in this study, retail managers need to understand that higher order SCI requires the support of cloud-based technology to improve supply chain performance and firm sustainability.Originality/valueThis research extends prior research of information and communication technologies-enabled SCI and its effect on supply chain performance which overly remains inconsistent. In addition, IS literature abounds with discussion on cloud computing technologyper se, and its adoption in supply chain is overly rhetoric. This study fills this gap by conceptualising the multiple dimensions of SCI enabled by cloud-based technology and the way it affects supply chain and firm sustainable performance. Investigating SCI in context of cloud-based technology is a unique contribution in this study. The moderating effect of top management in this decision also adds to the current body of literature.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dindayal Agrawal ◽  
Jitender Madaan

PurposeThe purpose of this study is to examine the barriers to the implementation of big data (BD) in the healthcare supply chain (HSC).Design/methodology/approachFirst, the barriers concerning BD adoption in the HSC were found by conducting a detailed literature survey and with the expert's opinion. Then the exploratory factor analysis (EFA) was employed to categorize the barriers. The obtained results are verified using the confirmatory factor analysis (CFA). Structural equation modeling (SEM) analysis gives the path diagram representing the interrelationship between latent variables and observed variables.FindingsThe segregation of 13 barriers into three categories, namely “data governance perspective,” “technological and expertise perspective,” and “organizational and social perspective,” is performed using EFA. Three hypotheses are tested, and all are accepted. It can be concluded that the “data governance perspective” is positively related to “technological and expertise perspective” and “organizational and social perspective” factors. Also, the “technological and expertise perspective” is positively related to “organizational and social perspective.”Research limitations/implicationsIn literature, very few studies have been performed on finding the barriers to BD adoption in the HSC. The systematic methodology and statistical verification applied in this study empowers the healthcare organizations and policymakers in further decision-making.Originality/valueThis paper is first of its kind to adopt an approach to classify barriers to BD implementation in the HSC into three distinct perspectives.


2018 ◽  
Vol 15 (4) ◽  
pp. 500-513
Author(s):  
Seniz Özhan ◽  
Nevin Altug ◽  
Eylem Deniz

Purpose The purpose of this paper is to examine the joint effect of two composite characteristics –openness to experience (OE) and nostalgia proneness (NP) – on product involvement (PI) and whether brand loyalty (BL) is a result of this PI. Design/methodology/approach In accordance with this purpose, a model suggesting that OE dimension of the five-factor model and NP influences PI and PI influences BL was developed and tested. The data used in the study were obtained from 1,392 participants from the Thrace region of Turkey. The authors use a structural equation model to test and confirm hypothesis. Findings OE influences PI and hence BL. On the other hand, it has been concluded that NP has no significant influence on PI. Research limitations/implications This is the first study to examine the influence of OE, one of the personality traits, and NP on BL. In this study, only OE, which is one of the five-factor personality traits, has been examined. Studies in the future may research the relationship between other personality traits and NP, PI and BL. Practical implications This paper provides managerial insights into why consumers’ personality traits and NP need to be taken into consideration in creating BL. Originality/value To the best of authors’ knowledge, the influence of OE and NP on BL has not been addressed in the current literature. Personality traits and NP are closely related to individuals’ behaviors as a consumer. Understanding the factors that influence consumer purchase decision processes is of crucial importance to managers and researchers alike. The paper is of great value for firms that consider enhance BL.


2019 ◽  
Vol 24 (5) ◽  
pp. 659-676 ◽  
Author(s):  
Md Maruf Hossan Chowdhury ◽  
Mohammed Quaddus ◽  
Renu Agarwal

PurposeFollowing a contingent resource-based view (CRBV) perspective, this paper aims to explore the operating context in which supply chain resilience (SCRE) is likely to enhance the supply chain performance (SCP) of organizations. More specifically, the authors developed the ‘Supply Chain Resilience’ model wherein we considered two important exogenous context variables (supply chain relational practices [SCRPs] and network complexities [NCs]) and studied their moderating roles on the relationship between SCRE and SCP. The authors also investigated the conditional effect of SCRE on SCP at different levels of SCRPs and NCs.Design/methodology/approachThis study used both qualitative and quantitative approaches. For the qualitative approach, a field study was undertaken, while the quantitative study was conducted via the use of a survey questionnaire of 274 apparel manufacturers and their suppliers in Bangladesh. The authors applied Hayes PROCESS enabled multiple regression analysis and structural equation modelling to statistically test the proposed research models.FindingsThe research findings revealed that SCRP and NC individually moderated the link between SCRE and SCP. The link between SCRE and SCP was strengthened via the interaction effect of SCRP and NC, even if the NC value was high.Practical implicationsThe findings will assist supply chain managers in managing supply chain performance during uncertainties by strengthening resilience capability at different levels of NCs and SCRPs.Originality/valueDrawing on CRBV, the authors studied how the conditional effects of exogenous variables (SCRP and NC) moderated the relationship between SCRE and SCP in both two- and three-way interactions, which is a novel approach in the SCRE literature and also extends the theoretical perspective of CRBV.


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